AI CodeOps

AI CodeOps integrations: GitHub, GitLab, Gitea and more

Connect AI CodeOps to the Git host you already use (GitHub, GitLab, Bitbucket, Gitea or Forgejo), and to the coding tools your team works in (Claude Code, Cursor, Copilot and Codex) through the MCP server.

  • AI CodeOps and MCP, both directions

    Use AI CodeOps from Claude Code or Cursor through its MCP server, and connect remote MCP servers so the agents in your sessions can call their tools.

  • AI CodeOps for Bitbucket

    Run AI CodeOps on Bitbucket Cloud repositories: agents write the change on a new branch and open a pull request that merges only after your quality gates pass.

  • AI CodeOps for Claude Code

    Connect Claude Code to the AI CodeOps MCP server: hand tasks to gated sessions, check the release gate before a merge and read findings, from your terminal.

  • AI CodeOps for Cursor

    Add the AI CodeOps MCP server to Cursor: start gated AI sessions, read findings and check whether a pull request may ship, without leaving the editor.

  • AI CodeOps for Forgejo

    Run AI CodeOps on a Forgejo server, such as Codeberg or your own instance: agents open pull requests there that merge only after your quality gates have passed.

  • AI CodeOps for Gitea

    Run AI CodeOps on your own Gitea server: connect with a personal access token, and agents open pull requests there that merge only after your gates pass.

  • AI CodeOps for GitHub

    Run AI CodeOps on your GitHub repositories: agents write the change on a branch, open a pull request, and it merges only after your quality gates pass.

  • AI CodeOps for GitHub Copilot

    Connect GitHub Copilot to the AI CodeOps MCP server in VS Code or the Copilot cloud agent, and gate pull requests with the release check your CI can call.

  • AI CodeOps for GitLab

    Run AI CodeOps on GitLab.com or a self-managed GitLab: agents write the change on a branch, open a merge request, and it merges only once your gates pass.

  • AI CodeOps for OpenAI Codex

    Add the AI CodeOps MCP server to Codex in config.toml: start gated AI sessions, read findings and check the release gate from the Codex CLI or IDE extension.